Randi Starrfelt spoke about the Back of the Brain project: a large and rich dataset (64 patients, 32 tests). PCA stroke patients were recruited based on their lesions rather than their symptoms. researchgate.net/project/The-Ba…

Now out in PNAS! We combine MEG source reconstruction, RSA, and end-to-end deep neural network training to show that "Recurrence is required to capture the representational dynamics of the human visual system". pnas.org/content/early/… #deeplearning #neuroscience #neuroimaging

New preprint from the lab: "Individual differences among deep neural network models." biorxiv.org/content/10.110… Work with Nikolaus Kriegeskorte, Hannes Mehrer, and Courtney Spoerer. #tweeprint below. 1/7

I collected some free resources for learning computational neuroscience on my website. Please feel free to share with others and to send me suggestions. neural-reckoning.org/comp-neuro-res…

Online comp neuro conference #neuromatch2020 is working really well! Upvoting of questions for speakers, inviting question-askers on screen etc. The agenda over today and tomorrow is awesome, check it out: neuromatch.io/agenda

A really great talk by Dr. Nicole C Rust at #neuromatch2020 on image memorability, which is predictable by DNNs but not intuitive to humans

Despite not being in any shared work building now, all of these online initiatives are starting to make me feel like I'm in the same department as the whole field, like I can pop down the corridor to the next great talk/gathering that's being hosted anywhere. In the diary!

Tim is a great PI, I feel incredibly lucky to have him as PhD supervisor!

How to run big (neuro)science conferences online  — neuromatch.io link.medium.com/17Wpnl48k5 what we learned. Let us make online conferences awesome.

To accommodate for this situation we are organizing one-day, virtual & free of charge Conference on AI inference in Practice in the first half of September 2020. The Conference will be accompanied by virtual workshops in topics of Deep Learning. More details will be posted soon!

For students and others interested in expanding their knowledge of AI during this period, we thought it might be helpful to ask our researchers what they consider to be the most impactful and insightful resources available to use #AtHomeWithAI (1/9)

“First Order Motion Model for Image Animation” hooked up to a live camera: github.com/anandpawara/Re… Original NeurIPS2019 paper / code: aliaksandrsiarohin.github.io/first-order-mo…

1/7 A big problem with deepnet models of the brain is that they require training on huge supervised datasets. So even if they are approximations of neural responses in the "adult animal", the training process is a totally implausible model of learning in real visual development.

1/13) This semester's teaching on Bayesian stats and cognitive modeling is over! Thanks to COVID (ironically!), I recorded all my teaching sessions w/ @zoom_us, and they are available on #Youtube. Wondered what have we covered to the cog-neuro audience? A thread.

As a warm-up exercise to teach PCA I ask students to pretend they're a whale shark then ask them what angle they'd tilt their shark face if they were approaching a delicious krill swarm...

The CBU is a great place to do a PhD, such a lovely atmosphere. Happy to chat with anyone who'd like to know more about what it's like!

What makes a good scientific reviewer? We discussed this topic in today's lab meeting, slides here: figshare.com/articles/prese… Comments and RTs appreciated. #AcademicChatter #AcademicTwitter #Science #AcademicPublishing Academic Chatter™ ShitMyReviewersSay Reviewer Number 3

New preprint alert! We show that predictive coding is an emergent property of input-driven RNNs trained to be energy efficient. No hierarchical hard-wiring required. A thread: 1/ biorxiv.org/content/10.110…

A friend has just shown me this book "Calculus made easy", published in 1914, and I think it's got one of the best prologues I've ever seen. This is *exactly* what textbooks should be doing. And they should all be honest about how terrifying the topic names are too.